Landslide Susceptibility Prediction Using Machine Learning Methods: A Case Study of Landslides in th...
Landslide Susceptibility Prediction Using Machine Learning Methods: A Case Study of Landslides in the Yinghu Lake Basin in Shaanxi
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Full title
Author / Creator
Ma, Sheng , Chen, Jian , Wu, Saier and Li, Yurou
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Landslide susceptibility prediction (LSP) is the basis for risk management and plays an important role in social sustainability. However, the modeling process of LSP is constrained by various factors. This paper approaches the effect of landslide data integrity, machine-learning (ML) models, and non-landslide sample-selection methods on the accurac...
Alternative Titles
Full title
Landslide Susceptibility Prediction Using Machine Learning Methods: A Case Study of Landslides in the Yinghu Lake Basin in Shaanxi
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2893357975
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2893357975
Other Identifiers
ISSN
2071-1050
E-ISSN
2071-1050
DOI
10.3390/su152215836
